{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c370d02e95a0145f",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 一、实验目的\n",
    "\n",
    "培养学生具备一定的数学建模、数据分析与处理的能力，掌握典型的数据分类建模方法，巩固加深学生对k近邻、决策树、朴素贝叶斯和SVM（支持向量机）算法基本操作的理解与掌握。培养学生灵活运用k近邻、决策树、朴素贝叶斯和SVM（支持向量机）理论处理实际分类问题的能力。锻炼学生从抽象思维到具体实现之间进行转换的能力，提高学生上机实践操作能力。\n",
    "\n",
    "### 二、实验内容\n",
    "\n",
    "1. 多种方法解决iris数据集识别\n",
    "    1. 构建SVM程序，实现对iris数据集的分类。\n",
    "    2. 要求分别使用线性SVM和核化SVM方法实现，并对比分析两种方法的区别。\n",
    "    3. 使用k近邻、决策树、朴素贝叶斯实现分类。\n",
    "\n",
    "2. 任选一种方法实现pima-indians-diabetes（pima印第安纳糖尿病）数据集识别。\n",
    "\n",
    "3. 多种方法解决手写数字识别（选做）。\n",
    "\n",
    "### 三、实验步骤\n",
    "\n",
    "#### 1. 阐述每种方法的基本原理\n",
    "\n",
    "**k近邻（K-Nearest Neighbors, KNN）：**\n",
    "KNN是一种基于实例的学习方法，属于惰性学习。其基本思想是，对于一个未知样本，根据训练集中与该样本最近的k个样本的类别，通过多数表决等方式决定该样本的类别。\n",
    "\n",
    "**决策树（Decision Tree）：**\n",
    "决策树是一种树状结构，其中每个内部节点表示一个属性测试，每个分支表示一个测试结果，每个叶节点表示一个类标签。其构建过程是递归地选择最优属性将数据集划分为子集，直到满足停止条件为止。\n",
    "\n",
    "**朴素贝叶斯（Naive Bayes）：**\n",
    "朴素贝叶斯是一类简单但强大的分类算法，基于贝叶斯定理与特征之间条件独立的假设。其基本思想是通过训练数据计算先验概率和条件概率，然后根据贝叶斯定理进行分类预测。\n",
    "\n",
    "**支持向量机（Support Vector Machine, SVM）：**\n",
    "SVM是一种用于二分类任务的监督学习模型，通过构造一个最大间隔的超平面将样本进行分隔。对于非线性可分的数据，可以通过核方法将数据映射到高维空间，使其线性可分。\n",
    "\n",
    "#### 2. 用Python完成实验内容1的算法设计和程序设计并上机调试通过\n",
    "\n",
    "##### 2.1 程序代码（以SVM为例）：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b1788033cf551090",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-18T09:00:22.587689600Z",
     "start_time": "2024-05-18T09:00:20.983306800Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training prediction: 0.943\n",
      "Test data prediction: 0.978\n",
      "Training data Accuracy: 0.943\n",
      "Testing data Accuracy: 0.978\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training prediction: 0.943\n",
      "Test data prediction: 0.978\n",
      "Training data Accuracy: 0.943\n",
      "Testing data Accuracy: 0.978\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn import svm, model_selection\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "\n",
    "# 将字符串转为整型，便于数据加载\n",
    "def iris_type(s):\n",
    "    it = {b'Iris-setosa': 0, b'Iris-versicolor': 1, b'Iris-virginica': 2}\n",
    "    return it[s]\n",
    "\n",
    "# 加载数据\n",
    "data_path = '../data/iris.data'\n",
    "data = np.loadtxt(data_path, dtype=float, delimiter=',', converters={4: iris_type})\n",
    "\n",
    "# 数据分割\n",
    "x, y = np.split(data, (4,), axis=1)\n",
    "x = x[:, 1:3]  # 选择两列特征用于可视化\n",
    "x_train, x_test, y_train, y_test = model_selection.train_test_split(x, y, random_state=1, test_size=0.3)\n",
    "\n",
    "# 定义SVM模型（线性核和RBF核）\n",
    "def classifier(kernel='linear'):\n",
    "    return svm.SVC(C=0.2, kernel=kernel, decision_function_shape='ovr')\n",
    "\n",
    "# 训练模型\n",
    "def train(clf, x_train, y_train):\n",
    "    clf.fit(x_train, y_train.ravel())\n",
    "\n",
    "# 模型评估\n",
    "def show_accuracy(a, b, tip):\n",
    "    acc = a.ravel() == b.ravel()\n",
    "    print('%s Accuracy: %.3f' % (tip, np.mean(acc)))\n",
    "\n",
    "def print_accuracy(clf, x_train, y_train, x_test, y_test):\n",
    "    print('Training prediction: %.3f' % (clf.score(x_train, y_train)))\n",
    "    print('Test data prediction: %.3f' % (clf.score(x_test, y_test)))\n",
    "    show_accuracy(clf.predict(x_train), y_train, 'Training data')\n",
    "    show_accuracy(clf.predict(x_test), y_test, 'Testing data')\n",
    "\n",
    "# 可视化结果\n",
    "def draw(clf, x):\n",
    "    iris_feature = 'sepal length', 'sepal width', 'petal length', 'petal width'\n",
    "    x1_min, x1_max = x[:, 0].min(), x[:, 0].max()\n",
    "    x2_min, x2_max = x[:, 1].min(), x[:, 1].max()\n",
    "    x1, x2 = np.mgrid[x1_min:x1_max:200j, x2_min:x2_max:200j]\n",
    "    grid_test = np.stack((x1.flat, x2.flat), axis=1)\n",
    "    grid_hat = clf.predict(grid_test).reshape(x1.shape)\n",
    "    cm_light = mpl.colors.ListedColormap(['#A0FFA0', '#FFA0A0', '#A0A0FF'])\n",
    "    cm_dark = mpl.colors.ListedColormap(['g', 'r', 'b'])\n",
    "    plt.pcolormesh(x1, x2, grid_hat, cmap=cm_light)\n",
    "    plt.scatter(x[:, 0], x[:, 1], c=np.squeeze(y), edgecolor='k', s=50, cmap=cm_dark)\n",
    "    plt.scatter(x_test[:, 0], x_test[:, 1], s=120, facecolor='none', zorder=10)\n",
    "    plt.xlabel(iris_feature[0], fontsize=20)\n",
    "    plt.ylabel(iris_feature[1], fontsize=20)\n",
    "    plt.xlim(x1_min, x1_max)\n",
    "    plt.ylim(x2_min, x2_max)\n",
    "    plt.title('SVM in iris data classification', fontsize=30)\n",
    "    plt.grid()\n",
    "    plt.show()\n",
    "\n",
    "# 创建和训练线性核SVM\n",
    "clf_linear = classifier(kernel='linear')\n",
    "train(clf_linear, x_train, y_train)\n",
    "print_accuracy(clf_linear, x_train, y_train, x_test, y_test)\n",
    "draw(clf_linear, x)\n",
    "\n",
    "# 创建和训练RBF核SVM\n",
    "clf_rbf = classifier(kernel='rbf')\n",
    "train(clf_rbf, x_train, y_train)\n",
    "print_accuracy(clf_rbf, x_train, y_train, x_test, y_test)\n",
    "draw(clf_rbf, x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6b0ca6ca719f6d5",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "#### 3. 用Python完成实验内容2的算法设计和程序设计并上机调试通过\n",
    "\n",
    "##### 3.1 程序代码：\n",
    "\n",
    "（以下以朴素贝叶斯为例）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "956f337492b0d105",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-18T09:00:23.123669200Z",
     "start_time": "2024-05-18T09:00:23.043137200Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training Accuracy: 0.762\n",
      "Testing Accuracy: 0.784\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "# 加载数据\n",
    "data_path = '../data/pima-indians-diabetes.data'\n",
    "data = np.loadtxt(data_path, delimiter=',')\n",
    "x, y = data[:, :-1], data[:, -1]\n",
    "\n",
    "# 数据分割\n",
    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=1)\n",
    "\n",
    "# 训练模型\n",
    "clf = GaussianNB()\n",
    "clf.fit(x_train, y_train)\n",
    "\n",
    "# 预测和评估\n",
    "y_pred_train = clf.predict(x_train)\n",
    "y_pred_test = clf.predict(x_test)\n",
    "print(\"Training Accuracy: %.3f\" % accuracy_score(y_train, y_pred_train))\n",
    "print(\"Testing Accuracy: %.3f\" % accuracy_score(y_test, y_pred_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f316dc89e81ccfb4",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "### 四、实验体会\n",
    "通过这次实验，我详细了解了k近邻、决策树、朴素贝叶斯和SVM等分类算法的基本原理及其应用方法。利用iris数据集和pima-indians-diabetes数据集进行实验，我学会了如何使用Python进行数据加载、预处理、模型训练和评估，并通过`matplotlibm`可视化展示分类结果。此外，本次实验提升了我解决实际分类问题的能力，增强了理论知识向实际操作转化的能力。\n",
    "\n",
    "总的来说，这次实验对我在机器学习领域的学习和实践有着重要的指导作用。希望在今后的学习中掌握更多的机器学习知识。"
   ]
  }
 ],
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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